Results 71 to 80 of about 48,962 (256)

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Patient‐Reported Outcomes with Selpercatinib Treatment Among Patients with RET‐Mutant Medullary Thyroid Cancer in the Phase I/II LIBRETTO‐001 Trial

The Oncologist, EarlyView., 2021
Abstract Background Medullary thyroid cancer (MTC) standard of care includes multikinase inhibitors (MKIs), which can exacerbate disease‐related diarrhea, primarily because of non‐RET kinase inhibition. We report diarrhea and other patient‐reported outcomes (PROs) with selpercatinib, a highly selective RET inhibitor, among patients with RET‐mutant MTC ...
Lori J. Wirth, Bruce Robinson, Valentina Boni, Daniel S.W. Tan, Caroline McCoach, Erminia Massarelli, Lisa M. Hess, Min‐Hua Jen, Jennifer Kherani, Elizabeth Olek, Vivek Subbiah   +10 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

PENERAPAN ALGORITMA NAIVE BAYES UNTUK MENGKLASIFIKASI DATA NASABAH ASURANSI

Jurnal Informatika, 2014
Data mining adalah teknik yang memanfaatkan data dalam jumlah yang besar untuk memperoleh informasi berharga yang sebelumnya tidak diketahui dan dapat dimanfaatkan untuk pengambilan keputusan penting. Pada penelitian ini, penulis berusaha menambang data (
Bustami Bustami
doaj   +1 more source

Multicenter Validation of Machine Learning Models for Predicting Myopia Progression Across School‐Based Screening and Optical Intervention Settings in Chinese Children and Adolescents

Advanced Intelligent Discovery, EarlyView.
Machine‐learning models predict myopia trajectories from 12 routine ocular variables in 40 445 children across 10 hospitals. Externally validated across school‐based screening and optical‐intervention settings, the best models achieve AUROC 0.97 for myopia status and R2 0.83 for spherical equivalent, enabling personalized risk stratification to curb ...
Yitong Zhang, Mingxuan Liu, Yifei Chen, Ying Wu, Lijun Zhang, Mengyao Guo, Yulan Yan, Runmei Wei, Zihan Cui, Peng Luo, Fang Chen, Bo Yang, Youcang Han, Xiaoyang Liu, Qiyuan Tian   +14 more
wiley   +1 more source

Edited Naive Bayes.

Inteligencia Artif., 2006
Naive Bayes is a well-known and studied algorithm both in statistics and machine learning. Bayesian learning algorithms represent each concept with a single probabilistic summary. This paper presents a variant of the Naive Bayes method, in which the original training set is augmented in the following fashion: Leave-One-Out procedure is applied over the
José María Martínez-Otzeta, Basilio Sierra, Elena Lazkano, Maier Ardaiz, Ekaitz Jauregi   +4 more
openaire   +3 more sources

Structure Extension of Tree-Augmented Naive Bayes

Entropy, 2019
Due to the simplicity and competitive classification performance of the naive Bayes (NB), researchers have proposed many approaches to improve NB by weakening its attribute independence assumption.
Yuguang Long, Limin Wang, Minghui Sun
doaj   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Perbandingan Algoritma Naive Bayes dan C.45 dalam Klasifikasi Data Mining

Jurnal Teknologi Informasi dan Ilmu Komputer, 2018
Pada paper ini, telah diterapkan metode Naive Bayes serta C.45 ke dalam 4 buah studi kasus, yaitu kasus penerimaan “Kartu Indonesia Sehat”, penentuan pengajuan kartu kredit di sebuah bank, penentuan usia kelahiran, serta penentuan kelayakan calon ...
Yogiek Indra Kurniawan
doaj   +1 more source

Dynamic Behavioral Profiling for User Authentication Using Binary Pressure Sequences and Grip Patterns via a Soft Stacking Ensemble

Advanced Intelligent Systems, EarlyView.
A smartphone‐embedded fabric‐strip sensing interface captures side‐pressure sequences and grip‐position patterns for behavioral authentication. Probability‐based soft stacking integrates class‐wise predictive probabilities from multiple learners to improve verification‐style discrimination, supporting a sensor‐integrated mobile‐security framework that ...
Wonki Hong
wiley   +1 more source